Bayesian Inference

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20 papers in the last four weeks, up 300% on the four weeks before. 0.2% of all new papers.

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  1. Learning Kernels by Alignment for Multiclass Bayes Classification

    Sep 6, 2026Hollan Haule, Javier EscuderoBayesian InferenceMetric Learning

  2. HyperMC: Multi-Fidelity Hyperparameter Tuning for Stochastic Gradient MCMC

    Sep 2, 2026Ming Tan, Xiyun JiaoHyperparameter OptimizationMarkov Chain Monte Carlo

    Department of Statistics and Data Science Southern University of Science and Technology Shenzhen, Guangdong, China · Department of Statistics and Data Science2026 Southern University of Science and Technology Shenzhen, Guangdong, China

  3. Comment on "Modeling rapid language learning by distilling Bayesian priors into artificial neural networks"

    Aug 13, 2026Orr Well, Idan Tarshish, Nur Lan +1Bayesian Neural NetworksMeta-Learning

    1Tel Aviv University · 2École Normale Supérieure

  4. Interpretable Causal Discovery via Causal-Effect Constraints

    Aug 12, 2026Cixuan Zhang, Guy Van den Broeck, Benjie WangBayesian InferenceCausal Discovery

    Computer Science Dept., Yale University, New Haven, Connecticut, USA · Computer Science Dept., University of California, Los Angeles, Los Angeles, California, USA

  5. Bayesian Symbolic Regression with Entropic Reinforcement Learning

    Aug 10, 2026Oussama Boussif, Mohammed Mahfoud, Younesse Kaddar +6Bayesian InferenceSymbolic Regression

    Mila – Québec AI Institute · Université de Montréal · Independent +5

  6. The Impact of Operational-Data Fidelity when Assessing Safety-Critical Autonomous-Vehicle Software

    Aug 9, 2026Kizito Salako, Rabiu Tsoho MuhammadAutonomous Driving Safety EvaluationBayesian Inference

    Centre for Software Reliability, City St. George’s, University of London, Northampton Square EC1V 0HB, U.K.

  7. LazyHMC: Hamiltonian Monte Carlo Simulation for Lazy, Infinite Dimensional Probabilistic Programs

    Aug 9, 2026Maria-Nicoleta Crăciun, C. -H. Luke Ong, Tom Schrijvers +1Markov Chain Monte CarloAutomatic Differentiation

    University of Oxford, UK · Nanyang Technological University, Singapore, Singapore · KU Leuven, Leuven, Belgium

  8. Leveraging System-Level Observations to Inform Bayesian Learning of Model Parameters for Quantitative Verification

    Aug 4, 2026Simos Gerasimou, Xingyu ZhaoBayesian InferenceFormal Verification

    Cyprus University of Technology, Cyprus · Wuhan University, China

  9. LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation

    Aug 4, 2026Eugene Lee, Oseong Choi, Byungsoo Kang +1Thompson SamplingCold-Start Recommendation

    NAVER WEBTOON South Korea

  10. Measuring in-context algorithmic reasoning in language models against an exact Bayes-optimal standard

    Aug 3, 2026Hector Zenil, Luan OzelimLLM EvaluationBayesian Inference

    Oxford Immune Algorithmics, Oxford University Innovation & London Institute for Healthcare Engineering, U.K · Department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences & King’s Institute for AI, King’s College London, U.K

  11. A Bayes-Markov Neuromorphic Model of Cortical Orientation Selectivity: A Computational Re-implementation and Quantitative Simulation Study

    Aug 1, 2026Abolfazl Moslemi, Milad Sarabadani, Fatemeh Sefidian +1Markov Random FieldsBayesian Inference

    Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran · School of Mathematics, Statistics, and Computer Science, Faculty of Science, University of Tehran, Tehran, Iran · Department of Psychology, Islamic Azad University, Tehran, Iran +1

  12. A Generalized-Bayes Perspective on Counterfactual Explanations: Posterior-Based Decision-Making and Evaluation

    Jul 31, 2026Keita KinjoCounterfactual EvaluationCounterfactual Explanations

    Faculty of Business, Kyoritsu Women’s University

  13. Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork

    Jul 29, 2026Peter Tisnikar, Maja Swieczkowska, Benteng Ma +2Bayesian InferenceAd Hoc Teamwork

    aDepartment of Informatics, King’s College London, 30 Aldwych, London, WC2B 4BG, England, United Kingdom · bDepartment of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, England, United Kingdom

  14. Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance

    Jul 28, 2026Pei-Hsuan Hsia, Lars H. Heyen, Arvid Weyrauch +4Bayesian Neural NetworksBayesian Inference

    Scientific Computing Center, Karlsruhe Institute of Technology · Scientific Computing Center, Karlsruhe Institute of Technology; and Helmholtz AI

  15. PYPM-GGD: Pitman-Yor Process Mixture with Generalized Gaussian Density using ADAM

    Jul 27, 2026Kart-Leong LimBayesian Mixture ModelsClustering

    Institute of Microelectronics, A*Star Singapore

  16. Cost-Aware Recovery-Pathway Identification and Bayesian Optimization for Autonomous Materials Discovery

    Jul 26, 2026Debajyoti Ray, Niranjan SrinivasCost-Sensitive LearningBayesian Optimization

    Coactive Science

  17. Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram

    Jul 25, 2026Ethan DavisCross-Subject EEG DecodingMI Classification

    University of Washington, USA

  18. Verbalized Particle Posterior: Bayesian Inference over Natural Language Hypotheses

    Jul 25, 2026Yan Zhang, Shikan Lian, Shibo LiBayesian InferenceLanguage Model Ensembles

    Department of Computer Science, Florida State University

  19. Distributional Determinantal Point Process for Repulsive Clustering of Distributions

    Jul 23, 2026Khai Nguyen, Yang Ni, Elizabeth Juarez-Colunga +1Bayesian Mixture ModelsClustering

    Department of Statistics and Data Sciences, University of Texas at Austin · Department of Biostatistics and Informatics, University of Colorado Anschutz · Department of Mathematics, University of Texas at Austin

  20. An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

    Jul 23, 2026Maximilian Dax, Theo Heimel, Gilles LouppeSimulation-Based InferenceParameter Estimation

    ELLIS Institute Tübingen, Max Planck Institute for Intelligent Systems, Tübingen AI Center, Tübingen, Germany · CP3, Université catholique de Louvain, Louvain-la-Neuve, Belgium · Montefiore Institute, University of Liège, Belgium

  21. Adaptive Bayesian Online Learning via Expert Aggregation

    Jul 22, 2026Jungbin Jun, Ilsang OhnBayesian InferenceAdaptive Conformal Inference

    Department of Statistics Inha University Incheon, 22212, South Korea

  22. A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling

    Jul 21, 2026Eric Herrison Gyamfi, Emily L. Kang, Bledar A. Konomi +1Bayesian InferenceGaussian Processes

    Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH · Department of Mathematics, Purdue University, West Lafayette, IN

  23. A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment

    Jul 20, 2026Nikola Pižurica, Matteo Risso, Nikola Milović +4GPU Kernel OptimizationBayesian Inference

    Computer Science Center, University of Montenegro · Fain Tech, Podgorica, Montenegro · Department of Control and Computer Engineering, Politecnico di Torino +2

  24. An efficient adaptive dimension selection algorithm for multidimensional probit graded response models

    Jul 20, 2026Yu Zhou, Yincai Tang, Bin Lv +1Latent Variable ModelsBayesian Inference

    1KLATASDS-MOE 1School of Statistics, East China Normal University, Shanghai, 200062, China · 2Zhiyuan School of Liberal Arts,Beijing Institute of Petrochemical Technology,Beijing 102617, China

  25. Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation

    Jul 20, 2026Siddharth Mishra-SharmaSimulation-Based InferenceParameter Estimation

    Faculty of Computing & Data Sciences Boston University · Boston University

  26. What does a Bayes-filtered transformer believe? A predictive Monte Carlo approach

    Jul 19, 2026Afiq Abdillah Effiezal Aswadi, Haotong Ma, Susan WeiTransformer InterpretabilityLatent Variable Models

    Department of Econometrics and Business Statistics Monash University

  27. DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery

    Jul 15, 2026Peiyan Gu, Zixin Teng, Xuming HeBayesian Mixture ModelsGaussian Mixture Models

    ShanghaiTech University, Shanghai, China · Shanghai Engineering Research Center of Intelligent Vision and Imaging

  28. Adapting Evidential Neural Networks to Test-Time Neighbor Fusion Improves Molecular Property Prediction

    Jul 13, 2026Cameron Gruich, Weichi Yao, Yixin Wang +1Evidential Deep LearningBayesian Inference

    Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2136, USA · Department of Statistics, University of Michigan, Ann Arbor, Michigan 48109-1107 USA

  29. DP-Splat: Bayesian Nonparametric Complexity Control for Gaussian Splatting

    Jul 12, 2026Aqi Dong3D Gaussian SplattingBayesian Mixture Models

    Embry-Riddle Aeronautical University

  30. Hierarchical Bayesian Quadrature

    Jul 12, 2026Tim Weiland, Toni Karvonen, Philipp HennigUncertainty QuantificationBayesian Inference

    Tübingen AI Center, University of Tübingen, Tübingen, Germany · School of Engineering Sciences, Lappeenranta–Lahti University of Technology LUT, Lappeenranta, Finland